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To build an outside-in model, and use new forms of analytics, we must start the discussion with the question of, “what drives value?” ” Traditional planning models optimize functional processes to improve cost and customer service. You are right. This work was expensive.
In this type of environment, traditional procurement software and manual processes are insufficient – and many procurement teams are looking to artificial intelligence (AI) for answers. Key Takeaways Understand the potential impact of AI – including Generative AI & AI Agents – in procurement.
If your systems are disjointed and you lack the ability to analyze masses of data in real time, you will struggle to deliver on-time, in-full and your reputation and revenue will be negatively impacted. Optimizing fulfillment requires a series of steps to get a shipment from its source to the end customer.
From sourcing and bid evaluation to warehouse slotting and dynamic routing, AI tools support faster and more consistent outcomes by processing large volumes of operational data and identifying patterns that human decision-makers may overlook. These capabilities are now being integrated into mainstream TMS, WMS, and ERP platforms.
Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes.
SAP is embedding its generative Joule across the SAP Ariba source-to-pay solution portfolio to make it easier for their customers to manage routine inquiries, such as status updates, summarization, and frequently asked questions. The enterprise software company also announced a new analytics solution covering external workforce management.
AI is reshaping the way organizations source, manage suppliers, and drive value today. As supply chains become more interconnected and risks more dynamic, traditional procurement tools fall short. AI agents offer a smarter, faster way to manage sourcing, risk, and spend across the entire procurement lifecycle.
AI is reshaping the way organizations source, manage suppliers, and drive value today. As supply chains become more interconnected and risks more dynamic, traditional procurement tools fall short. AI agents offer a smarter, faster way to manage sourcing, risk, and spend across the entire procurement lifecycle.
Strategic sourcing and innovative solutions are often viewed as two distinct procurement tools, but they should not be seen in isolation. Think of them as apples and gearseach essential and effective on its own, yet when combined; they create a formidable mechanism for achieving procurement excellence.
Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded AnalyticsReport to discover new best practices. Brought to you by Logi Analytics.
Procurement and supply chain management are often used interchangeably—but in practice, the lines between them can blur in ways that create real friction. Misaligned priorities, siloed systems, and unclear ownership can directly impact key performance indicators like cost savings percentage and procurement cycle time.
Enterprise procurement leaders are under more pressure than ever—juggling cost control, compliance, supplier risk, and internal complexity, all while trying to modernize outdated systems. AI, automation, and generative tools are redefining efficiency, allowing procurement teams to move from reactive to proactive decision-making.
Enterprise procurement teams face growing pressure to deliver strategic value – managing supplier risk, ensuring compliance, and supporting sustainability – all without sacrificing speed or control. This blog explores the most common challenges in digital procurement and the capabilities that matter most.
In follow-up qualitative interviews, one of the largest issues with organizational alignment was metric definition and a clear definition of supply chain excellence. In my post Mea Culpa, I reference my work with the Gartner Supply Chain Hierarchy of Metrics. Error is error, but is it the most important metric? My answer is no.
Proactively adopting cleaner energy sources ensures alignment with these evolving regulations. The industry’s dependency on traditional energy sources necessitates an urgent shift toward cleaner alternatives. Transparent sourcing practices build trust among consumers and investors.
If you’re evaluating procurement technology or exploring ways to drive more value from existing systems, chances are you’re looking beyond tactical fixes – you want a smarter, scalable strategy. Misaligned priorities across finance, legal, and procurement create friction that delays decision-making and reduces impact.
Traditionally, procurement has been a process weighed down by manual tasks, fragmented systems, and endless paperwork. Today, procurement is undergoing a transformation. While procurement teams have long worked to add strategic value, Artificial Intelligence (AI) amplifies their impact.
A disruption at any point in the global logistics network including the average of 12 touch points from shipment packaging to final delivery can prove disastrous for profits, service levels, customer loyalty, and other key metrics. With the global e-commerce market predicted to reach $8.1 billion to $23.07
For most CPOs and CFOs, deciding on the right purchasing setup — centralized or decentralized — is no small task. Each model has its perks, and choosing the best fit can feel like walking a tightrope. Keep reading to learn: What is centralized purchasing? What is centralized purchasing?
GEP and the North Carolina State University (NCSU) Supply Chain Resource Cooperative surveyed supply chain, procurement and IT professionals across a range of industries to gain insight into their priorities and strategies regarding supply chain resilience and optimization. Alex Zhong, Director Product Marketing at GEP.
As Procurement teams are tasked to do more with less in an increasingly complex and uncertain market, digitization has become a must. Procurement leaders have increasingly turned to Spend and Supplier Management platforms to improve decision-making, efficiency and collaboration.
In a previous post , I made a case for how the Chief Supply Chain Officer (CSCO) and Chief Procurement Officer (CPO) are smarter together. Accordingly Supply Chain and Procurement will need continuous collaboration. Such sourcing events can be in the context of direct materials or logistics capacity.
Analytics and business intelligence (BI) are no longer optionaltheyre essential. They need visibility across multiple internal systemslike ERP, CRM, and financial platformsand even external sources shared with suppliers, partners, and customers. Early BI systemsmostly OLAP toolsrelied heavily on pre-processed data from warehouses.
In May 2025, one in seven home-purchase agreements fell through resulting in the cancellation of 56,000 purchase contracts. Employees Cannot Get to the Right Data at the Speed of Business A war is raging between Oracle, Salesforce and SAP to automate supply chains. The key is to use channel data and decrease demand latency.
Real-Time Social Listening Integration Traditional supply chain planning relies heavily on historical transactional data, which inherently delays responses to rapidly shifting customer preferences. The latest ML algorithms can detect subtle shifts in consumer sentiment that precede actual purchasing behavior changes by weeks or even months.
Procurement and Supply Chain Management are essential functions that can help companies navigate these challenges, but they are often siloed and operate in separate departments. Their metrics are often misaligned as well – supply chain focuses on service and procurement focuses on the cost of acquiring materials and services.
To entice you to participate let’s look at the data more closely. In the supply chain team analysis, note the 21% gap between procurement and manufacturing teams, the 35% gap between sales and operations and the 21% gap between finance and operations. Functional Metrics. To respond, follow this link.
Introduction Gardner, (1954) and Huntzinger, (2007) define Purchase price variance (PPV) as a metric used to measure the effectiveness of cost-saving efforts by calculating the difference between the planned cost (standard pricing) allocated for purchasing activities and the actual cost incurred.
At each company, there is a relationship between the metrics of growth, margin, inventory, customer service, and asset strategy. For the purpose of this article, I will use Return on Invested Capital (ROIC) as the proxy metric to discuss asset utilization.) Understanding this relationship requires modeling. (A A Case Study.
Supply chain efficiency is the cornerstone of success and involves the effective management of processes, resources, and technologies from procurement to production, transportation to warehousing. In the automotive sector, manufacturers are simultaneously reducing inventory costs and delivery times.
The discipline, first defined in 1982, includes source, make, deliver, and planning functions. On September 30, the big data company Palantir went public in an initial 22B$ market valuation. I am frequently asked, “Can a big datadata science company help to alleviate the current market pain in the supply chain?”
Pattern recognition is the ability to discern patterns in data and use the insights for further analysis. Wikipedia In 2014, I was exploring methods to publish what is now the Supply Chains To Admire report. The use of orbit charts allowed me to see the patterns of performance at the intersection of metrics over time.
Decoding the Procurement Department: A Comprehensive Guide to Roles and Responsibilities This supply chain article provides a comprehensive overview of the procurement department within an organization. Read In Detail About Procurement Department Here 2.
What Is Strategic Sourcing? A Complete Guide Strategic sourcing is a data-driven approach to securing the best value for your organization from its strategic suppliers. It is called strategic because it replaces traditional ad hoc approaches to sourcing, which were almost entirely focused on cost savings, item by item.
Looking to improve operations and achieve cost savings within your procurement processes? Perhaps you already have a process audit report, or are interested in discovering how it could benefit you and streamline your operations. What is the Purpose of a Process Audit Report?
This shift has pushed supply chain leadership to pivot from reactive management to proactive strategy built on data. In this environment, business leaders need clear, data-based insights to make real-time decisions. Analytics allows organizations to move beyond intuition.
In these conventional IT approaches, data is written and coded with fixed semantics into rows and columns. I term this our data jail. Primed for transactional efficiency, these legacy architectures based on relational databases drive order-to-cash and procure-to-pay efficiencies. As a result, data query is fast.
I know that your primary focus is procurement. Or planned orders to purchase orders?) Testing Of Outside-in Processes Using channel and market data and the redefinition of demand planning from time-phased data to flow decreases the FVA by 10%, removes bias, and decreases the bullwhip by at least 50%. Go to the source.
For example, if an asset issue was detected, solving that issue could involve multiple applications used by multiple people, seeing different information, entering different data, bouncing emails and texts back and forth, and moving information from one place to another. We needed to model the data in a way that we can do simple searching.
The focus on inside-out processes tightly integrated to transactional data is a barrier. Most business leaders lack the understanding of data and process latency that creates supply chain black holes. There is no magic ball on design: the organization’s reporting structures vary by culture and size. Are the plans executed?
Ivalua’s new Environmental Impact Center empowers Procurement and Supply Chain teams with reliable and actionable insight to reduce Scope 3 Greenhouse Gas (GHG) emissions. This data is accessible across Ivalua’s Source-to-Pay solution to facilitate more sustainable procurement decisions within daily operations.
Digital commerce efficiently requires the digitalization of many customer-facing operations and sourcing and procurement. Supply chain planning involves interaction with different types of information based on internal and external datasources. This includes internal and external datasources.
This technology allows businesses to unify their procurement, expense management, invoicing, payments, sourcing, contract management, and spend analysis processes and reporting. The public cloud gives Coupa visibility to $6 trillion in transactional data that passes through their platform. “15 How much data do you have?
quintillion bytes of data every day. Cluster analysis is a statistical umbrella term for methods that classify data points according to their attributes. Cluster analysis is a statistical umbrella term for methods that classify data points according to their attributes. The retail industry is rich with data.
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